Advanced Condition Assessment Techniques for Improved System Performance Grid Condition Assessment Priorities for Improved System Resiliency and Reliability • Based in Columbus, OH • US / Canada Alliance Partners • International Alliance Partners Australia, Mexico • 5 U.S. Patents, 7 Int’l Patents • 2 million+ Poles Surveyed • 3rd Party Validation • DOE • NETL • The Ohio State University Research Facilities The Ohio State University High Voltage Laboratory Predictive Maintenance (PdM) RF Emission Grid Inspection Ultrasonic Detection Infrared Detection Visual Inspection Benefits of PdM Strategies • • • • • • Maintenance costs - down by 50% Unexpected failures - reduced by 55% Repair and overhaul time - down by 60% Spare parts inventory - reduced by 30% 30% increase in machinery MTBF 30% increase in uptime Applying PdM Strategy to the Grid 1. 2. 3. 4. Assess System Condition Schedule Maintenance Measure Results Repeat Process The 31% Problem All Studies Agree: 31% of Non-Storm Related Outages in America are due to Deteriorating Equipment U.S. Non Weather-Related Outages on the Electric Distribution System 31% of outages are caused by failing equipment 32% of outages are caused by trees Data Source: Miscellaneous 19% Animals 18% Common Utility Focus Areas • • • • • • • Worst Performing Circuits CMI or other related indices Circuit Rebuild Priority Smart Grid and/or AMI Preparation Geography Critical Loads Equipment Type – i.e. surge arrester only, porcelain cutouts, etc. Solution: Vision Analytics What is it? • A strategic and analytic assessment of Overhead circuits that accurately identifies opportunities to improve circuit performance, reliability, and grid resilience How Does it Work? • A collaborative process that incorporates utility outage information, patented Exacter technology, and Exacter analytics to accurately assess overhead systems – Vision Analytics: Utility Outage Information + Patented Technology + Exacter Analytics Benefits of Vision Analytics • Vision Analytics provides strategic, specific, and actionable information to improve circuit performance Example Long Term Trend Analysis – Reduce CMI and related indices – Optimize outage information – Prioritize maintenance operations – Reduce costs association with outage restoration Index SAIDI (minutes) SAIFI (# of outages) CAIDI (minutes) MAIFI (interruptions) 2009 2010 2011 2012 71.18 61.33 63.92 23.38 1.52 1.48 1.53 1.03 46.73 41.32 41.9 22.78 5.48 6.13 5.83 4.21 Utility Sample Outage Statistics Optimized Project Design Data Acquisition and Analysis Process Data Acquisition & Discrimination Data Analysis Actionable Information Data analyzed for severity, persistence and prevalence, enabling: • Exact locating of failing component • Replacement prioritization RF emissions from arcing (deteriorated) electrical components Exacter sensor in vehicle/aircraft collects the signals and then discriminates and GPS locates arcing, tracking and leaking electrical components Precise GPS coordinates and relevant conditiondata transmitted to servers for final statistical geospatial analysis Reports and GIS compatible information provided to customer Grid Condition Assessment The 986 RED Failure Signature Events are studied by EXACTER Servers to create this result: 25 BLUE Maintenance Groups where a structure includes at least one weakened component. Customer Prioritized Data Once the overall condition assessment information has been resolved, the GREEN prioritized locations that have been identified as priority maintenance locations are confirmed with ultrasonic equipment for repair. Pinpoint Equipment to Replace Specific component(s) that are arcing, leaking or tracking on those structures that have been prioritized for repair are identified. Photographs, Maps, Reports, and GIS Files are provided. GIS .SHP File Vision Analytics: Deliverables Vision Analytics: Deliverables GIS/.SHP / .KMZ Files Vision Analytics Process and Responsibilities Project Provide CMI Data CMI Analysis Create Territory Survey Route Planning Vehicle Scheduling QC Equipment and Territory Assignment System Surveying Create Field Service Maps Perform Field Location Services Create Field Report Review Findings Perform Prioritized Maintenance Measure Circuit CMI Impact Long Term CMI Trend Analysis Utility 1. Assess Grid Condition Data Acquisition & Discrimination Data Analysis Actionable Information Data analyzed for severity, persistence and prevalence, enabling: • Exact locating of failing component • Replacement prioritization RF emissions from arcing (deteriorated) electrical components Exacter sensor in vehicle/aircraft collects the signals and then discriminates and GPS locates arcing, tracking and leaking electrical components Precise GPS coordinates and relevant conditiondata transmitted to servers for final statistical geospatial analysis Reports and GIS compatible information provided 2. Schedule PdM Maintenance AND • Record Resource Hours • Monitor Inventory • Report Results 3. Measure Results Customer Complaints Number of Outages Customer-Minutes of Interruption (CMI) SAIDI SAIFI CAIDI MAIFI CEMI Inventory Used to Maintain Cost of Resources Year to Year Trends Case Study 1: COOP 3-Phase System Goal: Reduce CMI/SAIDI • 276 3-phase, circuit-miles • 27 Circuits • 39 Specific maintenance actions prioritized • 1 Repair each 6.1 miles • 228 Customers Impacted on average • 798,757 CMI impacted • 10% SAIDI Impact Opportunity (15.7 min.) • Total $52,000 Go Forward Plan: Annual 3-phase Project Case Study 2: UNITIL 3-Phase System Goal: Reduce CMI/SAIDI • 428, 3-phase, circuit-miles • 56 Specific maintenance actions prioritized • 1 Repair each 7.6 miles • 559 Customers Impacted on average (31,245 total) • 2,980,508 CMI impacted • 24.2% SAIDI Impact Opportunity (39.4 min.) • Total $100,000 Go Forward Plan: Annual 3-phase Project, Subtransmission, Important 1-phase laterals, & substations Q&A Contact: • John Lauletta, Exacter, Inc. • Tommy Malone, Davey Resource Group